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  1. Methods for semi-supervised learning on graphs

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  2. Python 3 implementation of GraRep method for node embedding.

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  3. Adaptive Similarity node Embedding

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  4. Graph pre-processing toolbox

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  5. Python3 package for diffusion-based prediction ( semi-supervised classification ) over graphs

    Python

  6. Forked from nikolakopoulos/Personalized-Diffusions

    Personalized Item Exploration Processes for Recommendation

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